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从时间序列退化图像中依次连续取两帧图像来估计湍流瞬态点扩展函数,将约束优化原理应用在气动光学效应退化图像的复原过程中。针对气动光学效应湍流点扩展函数复杂多峰、随机多变等特性,在点扩展函数的估计过程中,采用保凸峰等优化策略,将点扩展函数离散值的计算转化为基于松弛迭代的最优化估计,通过极小化准则函数估计点扩展函数值,进而恢复退化图像。实验结果表明,本文方法复原效果好,速度较快。
From the time-series degenerated images, two frames of images are successively taken to estimate the transient point spread function of turbulent flow, and the principle of constraint optimization is applied to the restoration process of the degraded image of aero-optic effect. Aiming at the complex multi-peak and stochastic change of turbulent point expansion function of aeroelasticity, in the process of estimating the point spread function, the optimization algorithm such as Paul convex peak is adopted to convert the calculation of the discrete value of the point spread function into the one based on relaxation iteration Optimize the estimate, estimate the point spread function value through the minimization criterion function, then restore the degraded image. Experimental results show that the method of this article is effective and fast.